This volume contains 23 articles on algebraic analysis of differential equations and related topics, most of which were presented ...
Continue readingAfter publishing an introduction to the Navier–Stokes equation and oceanography (Vol. 1 of this series), Luc Tartar follows ...
Continue readingVarious aspects of numerical analysis for equations arising in boundary integral equation methods have been the subject of ...
Continue readingLearn foundational and advanced topics in Neural Processing Unit design with real-world examples from leading voices in the ...
Continue readingStats with an introduction to AI, where you’ll learn the history of neural networks and what sets deep learning apart from ...
Continue readingCovering one of the most important subjects to our society today, cloud security, this editorial team delves into solutions ...
Continue readingThe present book deals with factorization problems for matrix and operator functions. The problems originate from, or are ...
Continue readingPresents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the ...
Continue readingThis two-volume set LNCS 12131 and LNCS 12132 constitutes the refereed proceedings of the 17th International Conference on ...
Continue readingThis two-volume set LNCS 12131 and LNCS 12132 constitutes the refereed proceedings of the 17th International Conference on ...
Continue readingWith blockchain being invented in 2008, cryptocurrencies have grown steadily through the years. Cryptocurrencies continue ...
Continue readingIn the last decade, convolution operators of matrix functions have received unusual attention due to their diverse applications. ...
Continue readingSynthesizes and presents novel deep learning approaches to a seemingly unlikely domain - tabular data. Whether for finance, ...
Continue readingThis volume is dedicated to the eminent Russian mathematician Igor Borisovich Simonenko on the occasion of his 70th birthday. ...
Continue readingCovers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. ...
Continue readingSince the beginning of time, visually impaired people have been relying on other senses to interpret their surroundings and ...
Continue readingThe objective is to look at pseudo-differential operators and related topics and to report recent advances in a broad spectrum ...
Continue readingThe objective is to look at pseudo-differential operators and related topics and to report recent advances in a broad spectrum ...
Continue readingAs the number of thefts and identity fraud has become a serious issue and with the increase of accidents rate, and the need ...
Continue readingContributions cover the main themes of the workshop: invariant subspaces, Krein space operator theory and its applications, ...
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